similar to: stumped by eval

Hi, I have problems with subset when calling a function from inside a function from inside a function. Here is a small example to be called as 'f1()'. 'eval()' in f3 fails with error message Error in eval(expr, envir, enclos) : object "subs" not found Is it possible to supplement subset to data, to be calculated in a different environment than the data itself? Thanks

I'm trying to evaluate a pre-built expression using eval(), e.g. dataset <- data.frame(y = runif(30, 50,100), x = gl(5, 6)) # one like this mf <- expression(model.frame(y~x)) eval(mf, dataset, parent.frame()) # rather than this eval(expression(model.frame(y~x)), dataset, parent.frame()) In the example above there is no problem, the problem comes when I try to do a similar thing

Hi Chris, Chris Lattner wrote: >> 2) Line 369 of PPCInstrInfo.td, we declare the non-callee saved registers. >> However, Linux and Darwin do not have the same set >> of non-callee saved registers. I don't know how to make the if(isDarwin) test >> in here >> > > Take a look at ARM/ARMRegisterInfo.td for an example of this I tried to define Defs just

Dear all, [system and version information below] I am trying to modify a C function for finding the root of an expression. The function is to be called from R as .Call with input parameters: f: expression for which we will find the root guesses: interval for the solution stol: tolerance rho: environment The original functions I use are: SEXP mkans(double x) { SEXP ans; PROTECT(ans =

Dear all, [system and version information below] I am trying to modify a C function for finding the root of an expression. The function is to be called from R as .Call with input parameters: f: expression for which we will find the root guesses: interval for the solution stol: tolerance rho: environment The original functions I use are: SEXP mkans(double x) { SEXP ans; PROTECT(ans =

Hello, FYI, this is a bug http://llvm.org/bugs/show_bug.cgi?id=13324 When compiling the following code for sm_20, func params are by some reason given with .align 0, which is invalid. Problem does not occur if compiled for sm_10. > cat test.ll ; ModuleID = '__kernelgen_main_module' target datalayout = "e-p:64:64-i64:64:64-f64:64:64-n1:8:16:32:64" target triple =

Dear List, I am writing a formula method for a function in a package I maintain. I want the method to return a data.frame that potentially only contains some of the variables in 'data', as specified by the formula. The problem I am having is in writing the function and wrapping it around model.frame. Consider the following data frame: dat <- data.frame(A = runif(10), B = runif(10), C

Dear R friends I wanted a function to make a simple percent table that would be easy for students to use. The goal originally was to have a simple thing people would call like this pctable(rowvar, colvar, data) and the things "rowvar" and "colvar" might be names of variables in data. I wanted to avoid the usage of "with" (as we now see in the table help). Then

#I have a data set that looks like this. A bit more complicated actually with # three factor levels but these calculations need to be done on one factor at a #I then have a set of different rates that are applied #to it. #dataset cata <- c( 1,1,6,1,1,2) catb <- c( 1,2,3,4,5,6) doga <- c(3,5,3,6,4, 0) data1 <- data.frame(cata, catb, doga) rm(cata,catb,doga) data1 # start rates #

Hi all, I have some problem regarding the integration function. Can any one take a look at the following and give me some help? Thank you in advance! Hannah ## f0 is a function of r,x, and y f0 <- function(r, x, y){ pnorm((x-sqrt(r)*y)/sqrt(1-r), mean=0,sd=1, lower.tail=T)^2*dnorm(y) } ## f1 is the function of r and x after integrating out y f1 <- function(r,x)

> > -----Original Message----- > > From: Rotem, Nadav [mailto:nadav.rotem at intel.com] > > Sent: Saturday, July 30, 2011 6:51 AM > > To: Gregory Junker > > Subject: RE: [LLVMdev] "Cannot select" error in 2.9 > > > > Can you reduce the test with bug-point ? Does it work on ToT ? > > Hi Nadav > > I'm not sure what those are --

I have been using the following method to create L(x,t) x<-seq(1,66) time<-seq(1,19) v0<-.01 f0<-function(x,time) .45*cos(2*pi*3*x/66+v0*time) L0<-outer(x,time,f0) If I do image(L0) I get an x,t plot of a drifting cosine wave grating. The grating is actually a pattern of fuzzy bars; I have been ignoring the y dimension (because the grating is vertical: y has no effect on the

I wrote with C and created a file that I can read into S+, but R chokes because I've got multiple spaces between some variables and there is a space at the start of each data line. This happens becuase C was right-justifying the numbers as it printed them out. It looks like this: T Run Seed IntAct Change f0 f0T0 f0T1 f0T2 average0 variance0 relentropy0 f1 f1T0 f1T1 f1T2 average1 variance1

Hi, I want to encode Loongson ISA initially https://gist.github.com/xiangzhai/8ae6966e2f02a94e180dd16ff1cd60ac gslbx           $2,0($3,$4) It is equivalent to: dadd $1, $3, $4 lb $2,0($1) I just use  mem_simmptr  as the default value of  DAGOperand MO , because  MipsMemAsmOperand  use  parseMemOperand  to parse general  MemOffset  and only *one*  AnyRegister , for example: 0($1) But 

I'm trying to build a standalone assembler for Mips using AsmParser. Following the lead of X86, ARM and MBlaze I have run tblgen -gen-asm-matcher on Mips.td to produce tables and methods to aid the parser (MipsAsmParser.cpp) which is a stripped down ARM implementation. I am getting an assertion for what I believe are multiple register definitions with the same name. llvm-tblgen:

Hello!!! I have a folder (C:/R/) with matrix files, named by number, i.e. 0.mat, 1.mat,...,1250.mat. In this case, they are 5x5 simetric matrices. I would like to compute a property for each matrix and put calculated values into a data frame for posterior ploting and printing. Below there is an example for 7 matrices (0.mat..6.mat) #define data frame L <- data.frame(frame=numeric(7),

Greetings all, I was in the process of creating a function to generate profile likelihood confidence intervals for a proportion using a binomial glm. This is a component of a larger function to generate and plot confidence intervals for proportions using the above, along with bootstrap (BCa), Wilson and Exact to visually demonstrate the variation across the methods to some folks. I had initially

On Fri, 2 Feb 2007, Nicolas Geoffray wrote: > I have almost completed the implementation of a linux/ppc backend in llvm. Cool! > There were a few things to modify in > lib/Target/PowerPC with a lot of "if (!isDarwin)". Some meta comments: 1. Please don't change PPC -> llvmPPC. I assume that you did this because PPC is a #define in some system header. Please

I want to superimpose two functions plots in the same page. The functions L0 and L1, defined below f0 <- function(mu, xm, ds, n) { 1 - pnorm((xm-mu)/(ds/sqrt(n))) } f1 <- function(mu,n) f0(mu, 386.8, 48, n) L0 <- function(mu) f1(mu, 36) plot(L0,ylim=c(0,1),xlim=c(360,420)) L1 <- function(mu) f1(mu,100) lines(L1) The plot of L0 works pretty well. However, when

To superimpose two functions plots in the same page. The functions L0 and L1, as defined below, I use the following code: # An accumulative normal distribution function with # several parametres f0 <- function(mu, xm, ds, n) { 1 - pnorm((xm-mu)/(ds/sqrt(n))) } f1 <- function(mu,n) f0(mu, 386.8, 48, n) # Two functions with just the parameter mu L0 <- function(mu)